notbanker

import matplotlib.pyplot as plt
import numpy as np
x = np.random.exponential(size=5000)
y = [ pow(x_,0.2654) for x_ in x]
plt.hist(y,bins=51)
plt.show()

notbanker

def running_on_local():
    return not running_on_domino()

def running_on_domino():
    return ( domino_run_id() is not None )
    
    

notbanker

import pandas as pd

class ChainedAssignent:

    """ Context manager to temporarily set pandas chained assignment warning. Usage:
    
        with ChainedAssignment():
             blah  
             
        with ChainedAssignment('error'):

notbanker

import subprocess
from lib.common.dominoUtil import running_on_local
from lib.config import PROJECT_PATH
import time
import psutil
import os
import numpy as np

def _recommended_threads():
    return psutil.cpu_count()-2

notbanker

import json
import urllib2
import time
import pandas as pd

def fen_examples( max_users = 3, max_games_per_user=10, sleep_time = 15 ):
    """ Grab some real game positions from the middle of actual games, and the result """
    users = users_in_team( team='coders' )
    records  = list()
    for user in users[ :max_users ]:

notbanker

#!/usr/bin/env bash
# Call stockfish engine on mac and return only the evaluation score
# Usage stockfish.sh 'r1b2rk1/4qppp/2pp4/pp6/3Bn3/PB3Q1P/1PP2PP1/3R1RK1' 5 mac 12 1024
# Usage stockfish.sh 'r1b2rk1/4qppp/2pp4/pp6/3Bn3/PB3Q1P/1PP2PP1/3R1RK1' 5 mac 12 1024
# Assumes the stockfish binary is called 'stockfish_'+binary 

fen=$1
seconds=${2:-3}
binary=${3:-mac}
threads=${4:-12}

notbanker

lambert_facts = ['Lambert was born the son of a tailor, and was expected by his father to continue in that profession.',
       'Lamberts early fight for his education is a remarkable story---he had to sell drawings and writings to his classmates to buy candles for night study,',
          'Lambert produced fundamental discoveries in cartography, despite being self-educated.',   'Lambert influenced hygrometry, pyrometry, pure mathematics and statistics.',
           'Lambert was more famous as a philosopher than as a mathematician.',   'The Lambert projection is still in use in cartography.',
            'Lambert was the first person to prove that pi is irrational.',   'Proofs that it is impossible to square the circle leaned on insights from Lambert.',
              'Lambert found a series solution to the trinomial equation, by hand calculation.',   'Lamberts technique for solving general series reversion techniques was a forerunner to the Langrange Inversion Theorem.',
                'Lambert discovered an

notbanker

from flask import Flask, request, url_for
from scipy.optimize import bisect
import math
import numpy as np

app = Flask(__name__)
app.secret_key = 'Whatever'

@app.route('/')
def index():

notbanker

from pymc import Model, MCMC, deterministic, stochastic, Normal, Bernoulli, Beta, distributions
import numpy as np

def twinModelVars( p_identical = 0.5, p_down = 0.01, measurement = 2.5, measurementPrecision = 2.0 ):
    """ Stylized model for twin Down Syndrome likelihood after a blood sample is taken from mother
        containing a mixture of indicators from each foetus

    :param p_identical: (Prior) probability of identical twins versus fraternal (0.1 for population)
    :param p_down:      (Prior) probability of Down Syndrome
    :param measurement: Measured marker value

notbanker

from pymc import Model, MCMC, deterministic, stochastic, Normal, Bernoulli, Beta, distributions
import numpy as np

def twinModelVars( p_identical = 0.5, p_down = 0.01, measurement = 2.5, measurementPrecision = 2.0 ):
    """ Stylized model for twin Down Syndrome likelihood after a blood sample is taken from mother
        containing a mixture of indicators from each foetus

    :param p_identical: (Prior) probability of identical twins versus fraternal (0.1 for population)
    :param p_down:      (Prior) probability of Down Syndrome
    :param measurement: Measured marker value